Classification of Adult-onset Diabetes in Five Subgroups in Pakistani Population
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Diabetes Mellitus
- Sponsor
- Getz Pharma
- Enrollment
- 394
- Primary Endpoint
- Classify patients into data-driven clusters (e.g., severe insulin-deficient, severe insulin-resistant, mild obesity-related and mild age-related diabetes).
- Status
- Not yet recruiting
- Last Updated
- last year
Overview
Brief Summary
This study aims to classify adult-onset diabetes patients into distinct data-driven clusters, such as severe insulin-deficient, severe insulin-resistant, mild obesity-related, and mild age-related diabetes, based on clinical and biochemical characteristics. Using a cross-sectional design, data will be collected from individuals attending outpatient diabetes clinics at tertiary care hospitals in Pakistan. The study will analyze the distribution of metabolic and demographic characteristics within each cluster and assess subgroup-specific risks for diabetic complications. Additionally, the relationship between clustering variables and the risk of complications will be evaluated to enhance the understanding of diabetes heterogeneity and its impact on patient outcomes.
Investigators
Eligibility Criteria
Inclusion Criteria
- •Patients of both genders whose age of disease onset was older than 16 years
- •Patients newly diagnosed with or previously diagnosed with T2D
- •Able and willing to provide written informed consent and to comply with the study
Exclusion Criteria
- •Patients with other medical comorbidities (not a complication of diabetes), such as malignancies.
- •Pregnancy
Outcomes
Primary Outcomes
Classify patients into data-driven clusters (e.g., severe insulin-deficient, severe insulin-resistant, mild obesity-related and mild age-related diabetes).
Time Frame: At the time of clinic visit during enrollment
Secondary Outcomes
- Analyze the distribution of metabolic and demographic characteristics within each cluster.(At the time of clinic visit during enrollment)
- • Assess subgroup-specific risks for diabetic macrovascular complications such as CVD, Stroke/TIA, and microvascular complications such as nephropathy, retinopathy, peripheral and autonomic neuropathy(At the time of clinic visit during enrollment)
- Evaluate the relationship between clustering variables and complications.(At the time of clinic visit during enrollment)